sim_adrf()
plot.clarify_adrf()
plots the output of sim_adrf()
. For the average dose-response function (ADRF, requested with contrast = "adrf"
in sim_adrf()
), this is a plot of the average marginal mean of the outcome against the requested values of the focal predictor; for the average marginal effects function (AMEF, requested with contrast = "amef"
in sim_adrf()
), this is a plot of the instantaneous average marginal effect of the focal predictor on the outcome against the requested values of the focal predictor.
# S3 method for clarify_adrf
plot(
x,
ci = TRUE,
level = 0.95,
method = "quantile",
baseline,
color = "black",
...
)
A ggplot
object.
a clarify_adrf
object resulting from a call to sim_adrf()
.
logical
; whether to display confidence bands for the estimates. Default is TRUE
.
the confidence level desired. Default is .95 for 95% confidence intervals.
the method used to compute confidence bands. Can be "wald"
to use a Normal approximation or "quantile"
to use the simulated sampling distribution (default). See summary.clarify_est()
for details. Abbreviations allowed.
logical
; whether to include a horizontal line at y = 0
on the plot. Default is FALSE
for the ADRF (since 0 might not be in the range of the outcome) and TRUE
for the AMEF.
the color of the line and confidence band in the plot.
for plot()
, further arguments passed to ggplot2::geom_density()
.
These plots are produced using ggplot2::geom_line()
and ggplot2::geom_ribbon()
. The confidence bands should be interpreted pointwise (i.e., they do not account for simultaneous inference).
summary.clarify_est()
for computing p-values and confidence intervals for the estimated quantities.
## See help("sim_adrf") for examples
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